Grayhawk, MO
Grayhawk, MO's wildfire risk, in USFS's own numbers
USFS scores Grayhawk at the 58th national percentile for wildfire risk to structures (modestly above the national average for wildfire risk), a figure built from 254 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Grayhawk at the 59th national percentile — 2 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Grayhawk's buildings actually sit
254 buildings are counted in Grayhawk, and 100% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 0% rated Minimal.
How Grayhawk compares
There's little gap between Grayhawk's 58th national percentile and its 49th percentile inside Missouri, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Grayhawk ranks 13,334 for wildfire risk (1 is highest) and 23,021 by building count (1 is largest). Within Missouri alone, it ranks 535 of 1,062 places by risk. See the full county-by-county picture for Missouri on its state page.
What this risk score means for insurance
Grayhawk's elevated wildfire rating (58th percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
Hardening a home in Grayhawk
With 100% of Grayhawk in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Grayhawk's figures come from
The methodology guide shows exactly how USFS turned 254 counted buildings into the percentiles shown above for Grayhawk. The exposure-zones guide covers what Grayhawk's dominant direct exposure actually means, with real examples from across the dataset.